How I Cut Spend in Half and Increased Law Firm Signups by 2x

Cut ad spend by 50 percent while increasing signed cases by up to 100 percent using clean tracking, landing pages, and broad match strategy.

Services

Google Ads Management, Conversion Tracking Setup, Lead Quality Optimization, Landing Page Strategy, Broad Match Scaling

Services

Google Ads Management, Conversion Tracking Setup, Lead Quality Optimization, Landing Page Strategy, Broad Match Scaling

Services

Google Ads Management, Conversion Tracking Setup, Lead Quality Optimization, Landing Page Strategy, Broad Match Scaling

Tools

Google Ads, Google Tag Manager, GA4, WhatConverts, Custom Landing Pages

Tools

Google Ads, Google Tag Manager, GA4, WhatConverts, Custom Landing Pages

Tools

Google Ads, Google Tag Manager, GA4, WhatConverts, Custom Landing Pages

Value

Cut wasted ad spend, improve lead quality, and scale signed cases using clean tracking and controlled broad match.

Value

Cut wasted ad spend, improve lead quality, and scale signed cases using clean tracking and controlled broad match.

Value

Cut wasted ad spend, improve lead quality, and scale signed cases using clean tracking and controlled broad match.

Timeline

August 2023 – Present

Timeline

August 2023 – Present

Timeline

August 2023 – Present

Introduction

This real estate law firm was previously working with a large legal marketing agency while spending high five figures per month in ad spend and thousands more in management fees. Performance was flat and lead quality was inconsistent. There was no true system in place to track what turned into real signed cases.

When they switched to working with me in August 2023, the goal was simple.
Stop wasting money. Track what matters. Scale what actually signs.

This real estate law firm was previously working with a large legal marketing agency while spending high five figures per month in ad spend and thousands more in management fees. Performance was flat and lead quality was inconsistent. There was no true system in place to track what turned into real signed cases.

When they switched to working with me in August 2023, the goal was simple.
Stop wasting money. Track what matters. Scale what actually signs.

This real estate law firm was previously working with a large legal marketing agency while spending high five figures per month in ad spend and thousands more in management fees. Performance was flat and lead quality was inconsistent. There was no true system in place to track what turned into real signed cases.

When they switched to working with me in August 2023, the goal was simple.
Stop wasting money. Track what matters. Scale what actually signs.

Problem

The firm had several core issues holding growth back:

  • High monthly ad spend with weak efficiency

  • No way to measure true lead quality

  • No feedback loop into Google for optimization

  • All leads treated as equal even when many never signed

  • Generic landing pages not matched to search intent

  • Broad campaigns with no structure around actual buying behavior

They were paying premium prices without having control over qualification or cost.

On paper, the account looked profitable. In reality, Google was optimizing off bad data and wasting spend.


The firm had several core issues holding growth back:

  • High monthly ad spend with weak efficiency

  • No way to measure true lead quality

  • No feedback loop into Google for optimization

  • All leads treated as equal even when many never signed

  • Generic landing pages not matched to search intent

  • Broad campaigns with no structure around actual buying behavior

They were paying premium prices without having control over qualification or cost.

On paper, the account looked profitable. In reality, Google was optimizing off bad data and wasting spend.


The firm had several core issues holding growth back:

  • High monthly ad spend with weak efficiency

  • No way to measure true lead quality

  • No feedback loop into Google for optimization

  • All leads treated as equal even when many never signed

  • Generic landing pages not matched to search intent

  • Broad campaigns with no structure around actual buying behavior

They were paying premium prices without having control over qualification or cost.

On paper, the account looked profitable. In reality, Google was optimizing off bad data and wasting spend.


Solution

Here is what I rebuilt from the ground up:

  1. Implemented WhatConverts to track real lead quality and signed cases

  2. Stopped sending low quality leads back into Google

  3. Only imported qualified leads to train the algorithm

  4. Rebuilt Google Ads using:

    • Broad match

    • Tight negative keyword control

    • High intent structure

  5. Built dedicated landing pages for each ad group

  6. Improved Quality Scores by fixing:

    • Keyword to page relevance

    • Page speed

    • Content alignment

  7. Let broad match work correctly by feeding it:

    • Clean conversion data

    • Strong landing page signals

    • Junk filtering at scale

This changed how Google learned and how spend was allocated.

The biggest win was not cheaper leads. It was finally knowing which leads actually turned into signed cases.


Here is what I rebuilt from the ground up:

  1. Implemented WhatConverts to track real lead quality and signed cases

  2. Stopped sending low quality leads back into Google

  3. Only imported qualified leads to train the algorithm

  4. Rebuilt Google Ads using:

    • Broad match

    • Tight negative keyword control

    • High intent structure

  5. Built dedicated landing pages for each ad group

  6. Improved Quality Scores by fixing:

    • Keyword to page relevance

    • Page speed

    • Content alignment

  7. Let broad match work correctly by feeding it:

    • Clean conversion data

    • Strong landing page signals

    • Junk filtering at scale

This changed how Google learned and how spend was allocated.

The biggest win was not cheaper leads. It was finally knowing which leads actually turned into signed cases.


Here is what I rebuilt from the ground up:

  1. Implemented WhatConverts to track real lead quality and signed cases

  2. Stopped sending low quality leads back into Google

  3. Only imported qualified leads to train the algorithm

  4. Rebuilt Google Ads using:

    • Broad match

    • Tight negative keyword control

    • High intent structure

  5. Built dedicated landing pages for each ad group

  6. Improved Quality Scores by fixing:

    • Keyword to page relevance

    • Page speed

    • Content alignment

  7. Let broad match work correctly by feeding it:

    • Clean conversion data

    • Strong landing page signals

    • Junk filtering at scale

This changed how Google learned and how spend was allocated.

The biggest win was not cheaper leads. It was finally knowing which leads actually turned into signed cases.


After restructuring everything:

  • Ad spend dropped by 50 percent

  • Signed cases increased by 40 to 100 percent

  • Cost per signed case dropped by over 60 percent

  • Lead quality improved immediately

  • Waste was removed without slowing growth

Most firms do not struggle because of traffic.
They struggle because their tracking and structure train Google to chase junk.

Clean data fixes that.

This turnaround was not driven by creative tweaks or hacks. It came from rebuilding tracking, feeding Google clean conversion data, and letting the algorithm optimize on real outcomes.


After restructuring everything:

  • Ad spend dropped by 50 percent

  • Signed cases increased by 40 to 100 percent

  • Cost per signed case dropped by over 60 percent

  • Lead quality improved immediately

  • Waste was removed without slowing growth

Most firms do not struggle because of traffic.
They struggle because their tracking and structure train Google to chase junk.

Clean data fixes that.

This turnaround was not driven by creative tweaks or hacks. It came from rebuilding tracking, feeding Google clean conversion data, and letting the algorithm optimize on real outcomes.


After restructuring everything:

  • Ad spend dropped by 50 percent

  • Signed cases increased by 40 to 100 percent

  • Cost per signed case dropped by over 60 percent

  • Lead quality improved immediately

  • Waste was removed without slowing growth

Most firms do not struggle because of traffic.
They struggle because their tracking and structure train Google to chase junk.

Clean data fixes that.

This turnaround was not driven by creative tweaks or hacks. It came from rebuilding tracking, feeding Google clean conversion data, and letting the algorithm optimize on real outcomes.


Want to chat about your marketing? Book a call.

Let’s talk through your tracking, campaigns, and growth goals.

Want to chat about your marketing?
Book a call.

Let’s talk through your tracking, campaigns, and growth goals.

Want to chat about your marketing? Book a call.

Let’s talk through your tracking, campaigns, and growth goals.

How I Cut Spend in Half and Increased Law Firm Signups by 2x

Cut ad spend by 50 percent while increasing signed cases by up to 100 percent using clean tracking, landing pages, and broad match strategy.

Services

Google Ads Management, Conversion Tracking Setup, Lead Quality Optimization, Landing Page Strategy, Broad Match Scaling

Services

Google Ads Management, Conversion Tracking Setup, Lead Quality Optimization, Landing Page Strategy, Broad Match Scaling

Services

Google Ads Management, Conversion Tracking Setup, Lead Quality Optimization, Landing Page Strategy, Broad Match Scaling

Tools

Google Ads, Google Tag Manager, GA4, WhatConverts, Custom Landing Pages

Tools

Google Ads, Google Tag Manager, GA4, WhatConverts, Custom Landing Pages

Tools

Google Ads, Google Tag Manager, GA4, WhatConverts, Custom Landing Pages

Value

Cut wasted ad spend, improve lead quality, and scale signed cases using clean tracking and controlled broad match.

Value

Cut wasted ad spend, improve lead quality, and scale signed cases using clean tracking and controlled broad match.

Value

Cut wasted ad spend, improve lead quality, and scale signed cases using clean tracking and controlled broad match.

Timeline

August 2023 – Present

Timeline

August 2023 – Present

Timeline

August 2023 – Present

Introduction

This real estate law firm was previously working with a large legal marketing agency while spending high five figures per month in ad spend and thousands more in management fees. Performance was flat and lead quality was inconsistent. There was no true system in place to track what turned into real signed cases.

When they switched to working with me in August 2023, the goal was simple.
Stop wasting money. Track what matters. Scale what actually signs.

This real estate law firm was previously working with a large legal marketing agency while spending high five figures per month in ad spend and thousands more in management fees. Performance was flat and lead quality was inconsistent. There was no true system in place to track what turned into real signed cases.

When they switched to working with me in August 2023, the goal was simple.
Stop wasting money. Track what matters. Scale what actually signs.

This real estate law firm was previously working with a large legal marketing agency while spending high five figures per month in ad spend and thousands more in management fees. Performance was flat and lead quality was inconsistent. There was no true system in place to track what turned into real signed cases.

When they switched to working with me in August 2023, the goal was simple.
Stop wasting money. Track what matters. Scale what actually signs.

Problem

The firm had several core issues holding growth back:

  • High monthly ad spend with weak efficiency

  • No way to measure true lead quality

  • No feedback loop into Google for optimization

  • All leads treated as equal even when many never signed

  • Generic landing pages not matched to search intent

  • Broad campaigns with no structure around actual buying behavior

They were paying premium prices without having control over qualification or cost.

On paper, the account looked profitable. In reality, Google was optimizing off bad data and wasting spend.


The firm had several core issues holding growth back:

  • High monthly ad spend with weak efficiency

  • No way to measure true lead quality

  • No feedback loop into Google for optimization

  • All leads treated as equal even when many never signed

  • Generic landing pages not matched to search intent

  • Broad campaigns with no structure around actual buying behavior

They were paying premium prices without having control over qualification or cost.

On paper, the account looked profitable. In reality, Google was optimizing off bad data and wasting spend.


The firm had several core issues holding growth back:

  • High monthly ad spend with weak efficiency

  • No way to measure true lead quality

  • No feedback loop into Google for optimization

  • All leads treated as equal even when many never signed

  • Generic landing pages not matched to search intent

  • Broad campaigns with no structure around actual buying behavior

They were paying premium prices without having control over qualification or cost.

On paper, the account looked profitable. In reality, Google was optimizing off bad data and wasting spend.


Solution

Here is what I rebuilt from the ground up:

  1. Implemented WhatConverts to track real lead quality and signed cases

  2. Stopped sending low quality leads back into Google

  3. Only imported qualified leads to train the algorithm

  4. Rebuilt Google Ads using:

    • Broad match

    • Tight negative keyword control

    • High intent structure

  5. Built dedicated landing pages for each ad group

  6. Improved Quality Scores by fixing:

    • Keyword to page relevance

    • Page speed

    • Content alignment

  7. Let broad match work correctly by feeding it:

    • Clean conversion data

    • Strong landing page signals

    • Junk filtering at scale

This changed how Google learned and how spend was allocated.

The biggest win was not cheaper leads. It was finally knowing which leads actually turned into signed cases.


Here is what I rebuilt from the ground up:

  1. Implemented WhatConverts to track real lead quality and signed cases

  2. Stopped sending low quality leads back into Google

  3. Only imported qualified leads to train the algorithm

  4. Rebuilt Google Ads using:

    • Broad match

    • Tight negative keyword control

    • High intent structure

  5. Built dedicated landing pages for each ad group

  6. Improved Quality Scores by fixing:

    • Keyword to page relevance

    • Page speed

    • Content alignment

  7. Let broad match work correctly by feeding it:

    • Clean conversion data

    • Strong landing page signals

    • Junk filtering at scale

This changed how Google learned and how spend was allocated.

The biggest win was not cheaper leads. It was finally knowing which leads actually turned into signed cases.


Here is what I rebuilt from the ground up:

  1. Implemented WhatConverts to track real lead quality and signed cases

  2. Stopped sending low quality leads back into Google

  3. Only imported qualified leads to train the algorithm

  4. Rebuilt Google Ads using:

    • Broad match

    • Tight negative keyword control

    • High intent structure

  5. Built dedicated landing pages for each ad group

  6. Improved Quality Scores by fixing:

    • Keyword to page relevance

    • Page speed

    • Content alignment

  7. Let broad match work correctly by feeding it:

    • Clean conversion data

    • Strong landing page signals

    • Junk filtering at scale

This changed how Google learned and how spend was allocated.

The biggest win was not cheaper leads. It was finally knowing which leads actually turned into signed cases.


After restructuring everything:

  • Ad spend dropped by 50 percent

  • Signed cases increased by 40 to 100 percent

  • Cost per signed case dropped by over 60 percent

  • Lead quality improved immediately

  • Waste was removed without slowing growth

Most firms do not struggle because of traffic.
They struggle because their tracking and structure train Google to chase junk.

Clean data fixes that.

This turnaround was not driven by creative tweaks or hacks. It came from rebuilding tracking, feeding Google clean conversion data, and letting the algorithm optimize on real outcomes.


After restructuring everything:

  • Ad spend dropped by 50 percent

  • Signed cases increased by 40 to 100 percent

  • Cost per signed case dropped by over 60 percent

  • Lead quality improved immediately

  • Waste was removed without slowing growth

Most firms do not struggle because of traffic.
They struggle because their tracking and structure train Google to chase junk.

Clean data fixes that.

This turnaround was not driven by creative tweaks or hacks. It came from rebuilding tracking, feeding Google clean conversion data, and letting the algorithm optimize on real outcomes.


After restructuring everything:

  • Ad spend dropped by 50 percent

  • Signed cases increased by 40 to 100 percent

  • Cost per signed case dropped by over 60 percent

  • Lead quality improved immediately

  • Waste was removed without slowing growth

Most firms do not struggle because of traffic.
They struggle because their tracking and structure train Google to chase junk.

Clean data fixes that.

This turnaround was not driven by creative tweaks or hacks. It came from rebuilding tracking, feeding Google clean conversion data, and letting the algorithm optimize on real outcomes.


Want to chat about your marketing? Book a call.

Let’s talk through your tracking, campaigns, and growth goals.

Want to chat about your marketing?
Book a call.

Let’s talk through your tracking, campaigns, and growth goals.

Want to chat about your marketing? Book a call.

Let’s talk through your tracking, campaigns, and growth goals.

How I Cut Spend in Half and Increased Law Firm Signups by 2x

Cut ad spend by 50 percent while increasing signed cases by up to 100 percent using clean tracking, landing pages, and broad match strategy.

Services

Google Ads Management, Conversion Tracking Setup, Lead Quality Optimization, Landing Page Strategy, Broad Match Scaling

Services

Google Ads Management, Conversion Tracking Setup, Lead Quality Optimization, Landing Page Strategy, Broad Match Scaling

Services

Google Ads Management, Conversion Tracking Setup, Lead Quality Optimization, Landing Page Strategy, Broad Match Scaling

Tools

Google Ads, Google Tag Manager, GA4, WhatConverts, Custom Landing Pages

Tools

Google Ads, Google Tag Manager, GA4, WhatConverts, Custom Landing Pages

Tools

Google Ads, Google Tag Manager, GA4, WhatConverts, Custom Landing Pages

Value

Cut wasted ad spend, improve lead quality, and scale signed cases using clean tracking and controlled broad match.

Value

Cut wasted ad spend, improve lead quality, and scale signed cases using clean tracking and controlled broad match.

Value

Cut wasted ad spend, improve lead quality, and scale signed cases using clean tracking and controlled broad match.

Timeline

August 2023 – Present

Timeline

August 2023 – Present

Timeline

August 2023 – Present

Introduction

This real estate law firm was previously working with a large legal marketing agency while spending high five figures per month in ad spend and thousands more in management fees. Performance was flat and lead quality was inconsistent. There was no true system in place to track what turned into real signed cases.

When they switched to working with me in August 2023, the goal was simple.
Stop wasting money. Track what matters. Scale what actually signs.

This real estate law firm was previously working with a large legal marketing agency while spending high five figures per month in ad spend and thousands more in management fees. Performance was flat and lead quality was inconsistent. There was no true system in place to track what turned into real signed cases.

When they switched to working with me in August 2023, the goal was simple.
Stop wasting money. Track what matters. Scale what actually signs.

This real estate law firm was previously working with a large legal marketing agency while spending high five figures per month in ad spend and thousands more in management fees. Performance was flat and lead quality was inconsistent. There was no true system in place to track what turned into real signed cases.

When they switched to working with me in August 2023, the goal was simple.
Stop wasting money. Track what matters. Scale what actually signs.

Problem

The firm had several core issues holding growth back:

  • High monthly ad spend with weak efficiency

  • No way to measure true lead quality

  • No feedback loop into Google for optimization

  • All leads treated as equal even when many never signed

  • Generic landing pages not matched to search intent

  • Broad campaigns with no structure around actual buying behavior

They were paying premium prices without having control over qualification or cost.

On paper, the account looked profitable. In reality, Google was optimizing off bad data and wasting spend.


The firm had several core issues holding growth back:

  • High monthly ad spend with weak efficiency

  • No way to measure true lead quality

  • No feedback loop into Google for optimization

  • All leads treated as equal even when many never signed

  • Generic landing pages not matched to search intent

  • Broad campaigns with no structure around actual buying behavior

They were paying premium prices without having control over qualification or cost.

On paper, the account looked profitable. In reality, Google was optimizing off bad data and wasting spend.


The firm had several core issues holding growth back:

  • High monthly ad spend with weak efficiency

  • No way to measure true lead quality

  • No feedback loop into Google for optimization

  • All leads treated as equal even when many never signed

  • Generic landing pages not matched to search intent

  • Broad campaigns with no structure around actual buying behavior

They were paying premium prices without having control over qualification or cost.

On paper, the account looked profitable. In reality, Google was optimizing off bad data and wasting spend.


Solution

Here is what I rebuilt from the ground up:

  1. Implemented WhatConverts to track real lead quality and signed cases

  2. Stopped sending low quality leads back into Google

  3. Only imported qualified leads to train the algorithm

  4. Rebuilt Google Ads using:

    • Broad match

    • Tight negative keyword control

    • High intent structure

  5. Built dedicated landing pages for each ad group

  6. Improved Quality Scores by fixing:

    • Keyword to page relevance

    • Page speed

    • Content alignment

  7. Let broad match work correctly by feeding it:

    • Clean conversion data

    • Strong landing page signals

    • Junk filtering at scale

This changed how Google learned and how spend was allocated.

The biggest win was not cheaper leads. It was finally knowing which leads actually turned into signed cases.


Here is what I rebuilt from the ground up:

  1. Implemented WhatConverts to track real lead quality and signed cases

  2. Stopped sending low quality leads back into Google

  3. Only imported qualified leads to train the algorithm

  4. Rebuilt Google Ads using:

    • Broad match

    • Tight negative keyword control

    • High intent structure

  5. Built dedicated landing pages for each ad group

  6. Improved Quality Scores by fixing:

    • Keyword to page relevance

    • Page speed

    • Content alignment

  7. Let broad match work correctly by feeding it:

    • Clean conversion data

    • Strong landing page signals

    • Junk filtering at scale

This changed how Google learned and how spend was allocated.

The biggest win was not cheaper leads. It was finally knowing which leads actually turned into signed cases.


Here is what I rebuilt from the ground up:

  1. Implemented WhatConverts to track real lead quality and signed cases

  2. Stopped sending low quality leads back into Google

  3. Only imported qualified leads to train the algorithm

  4. Rebuilt Google Ads using:

    • Broad match

    • Tight negative keyword control

    • High intent structure

  5. Built dedicated landing pages for each ad group

  6. Improved Quality Scores by fixing:

    • Keyword to page relevance

    • Page speed

    • Content alignment

  7. Let broad match work correctly by feeding it:

    • Clean conversion data

    • Strong landing page signals

    • Junk filtering at scale

This changed how Google learned and how spend was allocated.

The biggest win was not cheaper leads. It was finally knowing which leads actually turned into signed cases.


After restructuring everything:

  • Ad spend dropped by 50 percent

  • Signed cases increased by 40 to 100 percent

  • Cost per signed case dropped by over 60 percent

  • Lead quality improved immediately

  • Waste was removed without slowing growth

Most firms do not struggle because of traffic.
They struggle because their tracking and structure train Google to chase junk.

Clean data fixes that.

This turnaround was not driven by creative tweaks or hacks. It came from rebuilding tracking, feeding Google clean conversion data, and letting the algorithm optimize on real outcomes.


After restructuring everything:

  • Ad spend dropped by 50 percent

  • Signed cases increased by 40 to 100 percent

  • Cost per signed case dropped by over 60 percent

  • Lead quality improved immediately

  • Waste was removed without slowing growth

Most firms do not struggle because of traffic.
They struggle because their tracking and structure train Google to chase junk.

Clean data fixes that.

This turnaround was not driven by creative tweaks or hacks. It came from rebuilding tracking, feeding Google clean conversion data, and letting the algorithm optimize on real outcomes.


After restructuring everything:

  • Ad spend dropped by 50 percent

  • Signed cases increased by 40 to 100 percent

  • Cost per signed case dropped by over 60 percent

  • Lead quality improved immediately

  • Waste was removed without slowing growth

Most firms do not struggle because of traffic.
They struggle because their tracking and structure train Google to chase junk.

Clean data fixes that.

This turnaround was not driven by creative tweaks or hacks. It came from rebuilding tracking, feeding Google clean conversion data, and letting the algorithm optimize on real outcomes.


Want to chat about your marketing? Book a call.

Let’s talk through your tracking, campaigns, and growth goals.

Want to chat about your marketing?
Book a call.

Let’s talk through your tracking, campaigns, and growth goals.

Want to chat about your marketing? Book a call.

Let’s talk through your tracking, campaigns, and growth goals.